Jasmine JavaScript Testing, 2nd EditionTake your testing of JavaScript applications to a new level of efficiency and reliability with the help of this book. Starting with the fundamentals of Jasmine and behavior-driven development (BDD), you will learn about tooling and automation. You will learn how to create a sustainable code base with the help of Jasmine. You will also take a look at integrated testing with React.js and Karma, and how you can speed this process up by faking AJAX requests. As you progress through the book, you will learn about the challenges of testing an application built on top of a framework and how you can prevent your application from suffering from dependency management. You will understand the concept of client-side and server-side rendering and test applications using React.js. You will also learn to automate using webpack and work with JavaScript module systems using ECMA Script 6 (ES6) modules.
By the end of this book, you will be a competent web developer with good knowledge and a strong un ...
Photoshop Elements 13: The Missing ManualPhotoshop Elements 13 looks sharper, performs better, and has more sophisticated photo - editing and slideshow features than previous versions—but knowing which tools to use when can be confusing. The new edition of this bestselling book removes the guesswork. With candid, jargon-free advice and step-by-step guidance, you'll get the most out of Elements for everything from sharing and touching-up photos to fun print and online projects. ...
CSS SecretsIn this practical guide, CSS expert Lea Verou provides 47 undocumented techniques and tips to help intermediate-to advanced CSS developers devise elegant solutions to a wide range of everyday web design problems.
Rather than focus on design, CSS Secrets shows you how to solve problems with code. You'll learn how to apply Lea's analytical approach to practically every CSS problem you face to attain DRY, maintainable, flexible, lightweight, and standards-compliant results. ...
Hello, StartupAt this very moment, somewhere in the world, two programmers are sitting in a garage and creating our future, one line of code at a time. We are in the era of the high tech startup.
This book is the "Hello, World" tutorial for building products, technologies, and teams in a startup environment. It's based on the experiences of the author, Yevgeniy Brikman, as well as interviews with programmers from some of the most successful startups of the last decade, including Google, Facebook, LinkedIn, Twitter, GitHub, Stripe, Instagram, AdMob, Pinterest, and many others.
If you're at all interested in startups - whether you're a programmer at the beginning of your career, a seasoned developer bored with the politics of large companies, a manager trying to figure out how to motivate your engineers, or just someone trying to figure out what this startup thing is all about - this book is for you. ...
Creating a Data-Driven OrganizationWhat do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.
Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential. ...
Docker: Up & RunningDocker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflow - and getting the integration details right - are not trivial tasks. With this practical guide, you'll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.
Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced. ...
Apache OozieGet a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs. With this hands-on guide, two experienced Hadoop practitioners walk you through the intricacies of this powerful and flexible platform, with numerous examples and real-world use cases.
Once you set up your Oozie server, you'll dive into techniques for writing and coordinating workflows, and learn how to write complex data pipelines. Advanced topics show you how to handle shared libraries in Oozie, as well as how to implement and manage Oozie's security capabilities. ...
Mastering pandas for FinanceThis book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems.
Starting with a focus on pandas data structures, you will learn to load and manipulate time-series financial data and then calculate common financial measures, leading into more advanced derivations using fixed- and moving-windows. This leads into correlating time-series data to both index and social data to build simple trading algorithms. From there, you will learn about more complex trading algorithms and implement them using open source back-testing tools. Then, you will examine the calculation of the value of options and Value at Risk. This then leads into the modeling of portfolios and calculation of optimal portfolios based upon risk. All concepts will be demonstrated continuously through progressive examples using interactive Python and IPython Notebook.
By the end of the book, you will be familiar with applying pandas to many financial problems, gi ...
Mastering Python for FinanceBuilt initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development.
With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance.
You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data. ...
Learning Object-Oriented ProgrammingLearning Object-Oriented Programming is an easy-to-follow guide full of hands-on examples of solutions to common problems with object-oriented code in Python, JavaScript, and C#. It starts by helping you to recognize objects from real-life scenarios and demonstrates that working with them makes it simpler to write code that is easy to understand and reuse. You will learn to protect and hide data with the data encapsulation features of Python, JavaScript, and C#.
You will explore how to maximize code reuse by writing code capable of working with objects of different types, and discover the advantage of duck typing in both Python and JavaScript, while you work with interfaces and generics in C#. With a fair understanding of interfaces, multiple inheritance, and composition, you will move on to refactor existing code and to organize your source for easy maintenance and extension.
Learning Object-Oriented Programming will help you to make better, stronger, and reusable code. ...